期刊文献+

含不确定性负荷的水火电力系统随机优化调度 被引量:24

Stochastic Optimization Scheduling Method for Hydrothermal Power Systems With Stochastic Loads
在线阅读 下载PDF
导出
摘要 针对水火电力系统负荷的不确定性,建立基于模糊机会约束规划的随机优化调度模型,分析负荷不确定性变化对水火电机组出力及火电机组能耗量、排放量的影响。将实际负荷与负荷预测的偏差看成一个模糊随机变量,并在火电机组煤耗量最小化、污染物排放最小化和水库蓄水量最大化3个目标函数中及功率平衡、机组出力调整等约束条件函数中均引入负荷这一随机变量。按照模糊机会约束和随机机会约束的确定性等价形式,将水火电力系统优化调度的不确定模型转化为确定性模型,并利用多目标问题的模糊满意度法进行求解。以一个8级梯级水电站和6台火电机组组成的水火电力系统为实例进行计算,验证所提出含不确定性负荷的水火电力系统随机调度模型的准确性和可行性。 A stochastic scheduling model for hydrothermal power systems was presented based on fuzzy chance constrained programming, taking load demand for a random variable. An impact of load uncertainty on power output, energy consumption and emission of generators was carried out. The random variable of load demand was introduced into all objective functions and constraints. A stochastic scheduling model of hydrothermal power systems was converted into a determined form using fuzzy chance constrained programming and random chance constrained programming. A system with 8 cascaded plants and 6 coal-fired plants is taken for a study example, and a simulation with satisfactory results is carried out to illustrate the accuracy and feasibility of the proposed stochastic scheduling model of hydrothermal power systems with stochastic load.
作者 吴杰康 唐力
出处 《中国电机工程学报》 EI CSCD 北大核心 2012年第28期36-43,21,共8页 Proceedings of the CSEE
基金 国家自然科学基金项目(50767001) 国家863高技术基金项目(2007AA04Z197) 高等学校博士学科点专项科研基金资助项目(20094501110002) 广东省普通高校"电力节能与新能源技术"重点实验室专项基金项目(ZDSYS200701) 广西自然科学基金项目(2011jjA60017)~~
关键词 水火电力系统 随机优化调度:随机负荷:模糊机 会约束规划 hydrothermal power systems stochasticoptimization scheduling stochastic load fuzzy chanceconstrained programming
  • 相关文献

参考文献21

  • 1Grake J H, Kirchmayer L K. Optimum operation of a hydrothermal system[J]. IEEE Transactions on Power Apparatus and Systems. 1962,80(3): 242-250.
  • 2Yeh W W. Optimization of real time hydrothermal system operation[J]. Journal of Water Resources Planning and Management, 1992,118(6): 636-653.
  • 3Habibollahzadeh H,Bubenko J A. Application of ecomposition techniques to short term operation planning of hydro-thermal power system[J]. IEEE Transactions on Power Apparatus and Systems, 1986,1(1): 41-47.
  • 4Ni E,Guan X. Scheduling hydrothermal power systems with cascaded and head-dependent reservoirs [J]. IEEE Transactions on Power Apparatus and Systems. 1999, 14(3): 1127-1132.
  • 5Basu M, Hopfield neural networks for optimal scheduling of fixed head hydrothermal power systems [J]. Electric Power Systems Research,2003,64( 1): 11-15.
  • 6Wu Y,Ho C,Wang D. A diploid genetic approach to short-term scheduling of hydro-thermal system[J]. IEEE Transactions on Power Systems, 2000,15(4): 1268-1274.
  • 7Jiang C,Bompard E. A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment[J].Energy Conversion and Management, 2005,46(17): 2689-2696.
  • 8Yu B,Yuan X,Wang J. Short-term hydro-thermal scheduling using particle swarm optimization method[J]. Energy Conversion and Management, 2007,48(7): 1902-1908.
  • 9Chang G,AganagicM,WaightJ,et al. Experiences with mixed integer linear programming based approaches on short-term hydro scheduling[J]. IEEE Transactions on Power Systems, 2001,16(4): 743-749.
  • 10王金文,袁晓辉,张勇传.随机动态规划在三峡梯级长期发电优化调度中的应用[J].电力自动化设备,2002,22(8):54-56. 被引量:31

二级参考文献163

共引文献386

同被引文献307

引证文献24

二级引证文献406

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部